東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Missing Cases: An Evaluation of Abor...

The University of North Carolina at Chapel Hill., Sociology.

FindBook

Google Book

Amazon

博客來

Missing Cases: An Evaluation of Abortion Underreporting in Add Health.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Missing Cases: An Evaluation of Abortion Underreporting in Add Health./
作者:	Tierney, Katherine I.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	92 p.
附註:	Source: Masters Abstracts International, Volume: 56-05.
Contained By:	Masters Abstracts International56-05(E).
標題:	Sociology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10266125
ISBN:	9781369873351

Missing Cases: An Evaluation of Abortion Underreporting in Add Health.
Tierney, Katherine I.

Missing Cases: An Evaluation of Abortion Underreporting in Add Health. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 92 p.

Source: Masters Abstracts International, Volume: 56-05.

Thesis (M.A.)--The University of North Carolina at Chapel Hill, 2017.

The underreporting of abortions on surveys is a problem that limits the ability of researchers to understand who has abortions, under what circumstances, and with what consequences. This paper is the first to evaluate the quality of the abortion data in the National Longitudinal Study of Adolescent to Adult Health (Add Health). The overall quality of these data and patterns of underreporting are evaluated. The paper also uses multi-level analyses to uncover the characteristics associated with reporting over time. The accuracy of Add Health abortion data varies across years and method of evaluation used. We find that Add Health captures 35% of expected abortions when using an abortion rate comparison, 43% when using a ratio comparison, and 20% when using a modeling technique. Additionally, we find that the consistency of reporting over time is influenced by the circumstances under which women have an abortion. Theoretical and practical implications are discussed.

ISBN: 9781369873351Subjects--Topical Terms:

516174
Sociology.

Missing Cases: An Evaluation of Abortion Underreporting in Add Health.
LDR:01879nmm a2200289 4500 001 2153515
005 20171130090822.5
008 190424s2017 ||||||||||||||||| ||eng d
020 $a 9781369873351
035 $a (MiAaPQ)AAI10266125
035 $a AAI10266125
040 $a MiAaPQ $c MiAaPQ
100 1 $a Tierney, Katherine I. $3 3341241
245 1 0 $a Missing Cases: An Evaluation of Abortion Underreporting in Add Health.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 92 p.
500 $a Source: Masters Abstracts International, Volume: 56-05.
500 $a Adviser: Kathleen M. Harris.
502 $a Thesis (M.A.)--The University of North Carolina at Chapel Hill, 2017.
520 $a The underreporting of abortions on surveys is a problem that limits the ability of researchers to understand who has abortions, under what circumstances, and with what consequences. This paper is the first to evaluate the quality of the abortion data in the National Longitudinal Study of Adolescent to Adult Health (Add Health). The overall quality of these data and patterns of underreporting are evaluated. The paper also uses multi-level analyses to uncover the characteristics associated with reporting over time. The accuracy of Add Health abortion data varies across years and method of evaluation used. We find that Add Health captures 35% of expected abortions when using an abortion rate comparison, 43% when using a ratio comparison, and 20% when using a modeling technique. Additionally, we find that the consistency of reporting over time is influenced by the circumstances under which women have an abortion. Theoretical and practical implications are discussed.
590 $a School code: 0153.
650 4 $a Sociology. $3 516174
650 4 $a Demography. $3 614991
690 $a 0626
690 $a 0938
710 2 $a The University of North Carolina at Chapel Hill. $b Sociology. $3 1030103
773 0 $t Masters Abstracts International $g 56-05(E).
790 $a 0153
791 $a M.A.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10266125